Learning a General Clause-to-Clause Relationships for Enhancing Emotion-Cause Pair Extraction. - Hang Chen 002; Xinyu Yang 001; Xiang Li (CoRR, 2022)

A Review and Roadmap of Deep Learning Causal Discovery in Different Variable Paradigms. - Hang Chen 002; Keqing Du; Xinyu Yang 001; Chenguang Li (CoRR, 2022)

How to Enhance Causal Discrimination of Utterances: A Case on Affective Reasoning. - Hang Chen 002; Xinyu Yang 001; Jing Luo 007; Wenjing Zhu (EMNLP, 2023)

Affective Reasoning at Utterance Level in Conversations: A Causal Discovery Approach. - Hang Chen 002; Jing Luo 007; Xinyu Yang 001; Wenjing Zhu (CoRR, 2023)

Learning to Recover Causal Relationship from Indefinite Data in the Presence of Latent Confounders. - Hang Chen 002; Xinyu Yang 001; Qing Yang 003 (CoRR, 2023)

SSL Framework for Causal Inconsistency between Structures and Representations. - Hang Chen 002; Xinyu Yang 001; Keqing Du (CoRR, 2023)

A Review and Roadmap of Deep Causal Model from Different Causal Structures and Representations. - Hang Chen 002; Keqing Du; Chenguang Li; Xinyu Yang 001 (CoRR, 2023)

Towards Causal Relationship in Indefinite Data: Baseline Model and New Datasets. - Hang Chen 002; Xinyu Yang 001; Keqing Du (CoRR, 2024)

Quantifying Emergence in Large Language Models. - Hang Chen 002; Xinyu Yang 001; Jiaying Zhu; Wenya Wang (CoRR, 2024)

Unveiling Language Skills under Circuits. - Hang Chen 002; Jiaying Zhu; Xinyu Yang 001; Wenya Wang (CoRR, 2024)

Dialogue Dataset generated by GPT4. - Hang Chen 002 (IEEE DataPort, 2024)

Learning a Structural Causal Model for Intuition Reasoning in Conversation. - Hang Chen 002; Bingyu Liao; Jing Luo 007; Wenjing Zhu; Xinyu Yang 001 (IEEE Trans. Knowl. Data Eng., 2024)

Enhancing multivariate spatio-temporal forecasting via complete dynamic causal modeling. - Keqing Du; Xinyu Yang 001; Hang Chen 002 (Neural Networks, 2025)